---
id: resources
title: Resources
---
import useBaseUrl from '@docusaurus/useBaseUrl';

## Community
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#### The Robyn facebook group [(here)](https://www.facebook.com/groups/954715125296621)

- A public group for Robyn users and marketing science practitioners.
- Interact with team Robyn & discuss with peers.
- Share your challenges, ideas, usecases and codes.

#### GitHub issues [(here)](https://github.com/facebookexperimental/Robyn/issues)
- Primary channel for bug reporting.
- Providing reproducible examples accelerates debugging.

## Recommended reads
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#### Press & releases
- Harvard Business Review: **A New Gold Standard for Digital Ad Measurement?** [here](https://hbr.org/2023/03/a-new-gold-standard-for-digital-ad-measurement)
- Measurement Framework: **Measurement 360: An advanced way to think about measurement strategy** [here](https://www.facebook.com/business/news/advanced-measurement-strategy)
- A quick MMM provider survey: **Decision-Making Processes in Marketing Mix Modelling** [here](https://github.com/facebookexperimental/Robyn/tree/main/publication/Decision_Making_Processes_in_Marketing_Mix_Modelling_A_Survey_of_MMM_Providers.pdf)

#### Deepdives from team Robyn
- **The convergence of marginal ROAS in the budget allocation in Robyn** [here](https://medium.com/@gufengzhou/the-convergence-of-marginal-roas-in-the-budget-allocation-in-robyn-5d407aebf021)
- **Hitting ROAS target using Robyn’s budget allocator** [here](https://medium.com/@gufengzhou/hitting-roas-target-using-robyns-budget-allocator-274ace3add4f)
- **More precision in MMM-experiment calibration with Robyn from Meta Marketing Science** [here](https://medium.com/@gufengzhou/more-precision-in-mmm-experiment-calibration-with-robyn-from-meta-marketing-science-f608841fc6d4)
- **Calibrated MMM better predicts true ROAS** [here](https://medium.com/@gufengzhou/calibrated-mmm-better-predicts-true-roas-d5adfc8abdc4)



## Additional materials
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#### Meta Blueprint course [(here)](https://www.facebookblueprint.com/student/path/253121-marketing-mix-models)

This course provides a high-level overview about Robyn and contains 4 chapters. Note that some content might not be up-to-date.

1. **Introduction**: What is Robyn? Identify different modeling approaches and explore the benefits of Nevergrad
2. **Data transformation and automation**: Explore your data and understand time series decomposition, adstock & saturation.
3. **Running the model**: Installation, model input, code examples and interpretation.
4. **Practical implementations of Robyn**: Understand calibration, model refresh & budget allocation.


